Remote: Senior Data Modeling & Architecture Lead

Holman

Georgia

Remote

USD 105,000 - 150,000

Full time

41 hours ago
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Benefits offered by this job

Health Insurance
Vision Insurance
Dental Insurance
Life and Disability Insurance
Flexible Spending and Health Savings
Employee Assistance Program
401(k) plan with Company Match
Paid Time Off (PTO)
Paid Holidays, Bereavement, and Jury-D
Paid Pregnancy/Parental leave
Paid Military Leave
Tuition Reimbursement

Job summary

Holman seeks a senior data architect/engineer to lead enterprise data modeling within a modern Lakehouse. The role focuses on Bronze/Silver/Gold patterns, semantic models, and governance.

You’ll drive reusable data products and collaborate with AI practitioners to adopt emerging cloud data and automation technologies. This is a full-time role offering competitive benefits and remote options.

Qualifications

  • Minimum 10+ years designing modern cloud data platforms.
  • Strong experience with Databricks, Delta Lake, Spark, dbt, SQL.
  • Experience with Medallion Architecture across bronze/silver/gold.
  • Experience building analytics-ready data products.

Responsibilities

  • Lead enterprise data modeling and transformation.
  • Design and implement lakehouse data assets and semantic models.
  • Set standards for modeling, naming, and best practices.
  • Mentor data engineers and analytics engineers.
  • Assess risks related to performance, cost, and data quality.

Skills

Data Architecture
Data Modeling
Leadership
Collaboration
AI/LLM familiarity

Education

Bachelor’s degree in computer science, Information Systems, Data Engineering, Data Science, Software Engineering, or a related field
Master’s degree in Computer Science, Data Engineering, AI, Analytics or related disciplines

Tools

Databricks
Delta Lake
Spark
dbt
SQL

Job description

Holman seeks a senior data architect/engineer to lead enterprise data modeling within a modern Lakehouse. The role focuses on Bronze/Silver/Gold patterns, semantic models, and governance.

You’ll drive reusable data products and collaborate with AI practitioners to adopt emerging cloud data and automation technologies. This is a full-time role offering competitive benefits and remote options.

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